A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Geo Assist is a spatial library to manage spatial data in-memory.
Earth Engine and Geemap: Geospatial Data Science with Python
A collection of 300+ examples for using Earth Engine and the geemap Python package
A collection of Jupyter notebooks for GEE Courses
A streamlit app template based on streamlit-option-menu
A streamlit multipage app template for geospatial applications
Interactive web apps created using geemap and streamlit
A Python package for installing optional dependencies for geemap and leafmap.
A collection of Earth Engine Apps created using geemap and voila
Python scripts for deploying Earth Engine Apps to heroku
Spatial Data Management with Google Earth Engine
A template for building a mkdocs website
This course introduces beginners to Google Earth Engine using Python in Google Colab. Explore remote sensing, process geospatial data, create dynamic visualizations, and understand drought indices. Develop skills for environmental monitoring and decision-making without needing local installations.
A streamlit web app visualizing global surface water datasets.
Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.
Interactive geemap tutorials on heroku
Ejecicicos en español sobre Jupyter Notebook mediante el paquete de Python, ipyleaflet, y ipywidgets: "geemap", para el mapeo interactivo en Google Earth Engine-GGE, de incendios forestales.
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